Research Operations Analyst

Verisk

. Conduct methodical audits of models ahead of each release milestone .

Posted 9/22/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $90,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong auditing skills with a methodical approach to model verification and compliance, alongside effective communication and project management capabilities. Proficient in data management practices and familiar with generative AI tools to support research initiatives.

Highest-signal resume keywords

Model AuditingData Management PracticesPython ScriptingProject ManagementGenerative AI Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Model DevelopmentQuality AssuranceReproducibility PrinciplesDashboard BuildingData CatalogsData LineageExcelPower BIJiraGit/GitHub

Soft Skills

Attention to DetailClear CommunicationOrganizational SkillsIntegrityCuriosity

Tools & Technologies

Microsoft OfficeJiraGit/GitHubPower BIGenerative AI Tools

Industry Keywords

Research ComplianceAudit ProceduresData Usage RequestsModel VerificationTeam Building

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct methodical audits of models ahead of each release milestone
Verify process and release readiness, reproducibility of results, validation against benchmarks, data management practices, documentation, team redundancy, compliance requirements, and adherence to code and coding standards
Probe inconsistencies, ask follow-up questions, exercise judgment about sufficient evidence, and track findings through resolution
Act as a review liaison during development and advise teams on research compliance
Help implement new processes and requirements for models developed on the Nexus platform
Keep audit procedures and checklists documented and up to date
Guide teams through Data Usage Requests and advise on terms of use for external data
Flag licensing or usage risks early in development
Develop training content on research best practices and compliance standards
Coordinate and sometimes lead training efforts using in-house experts
Maintain a curated repository of GenAI prompts and workflows and track emerging use cases
Maintain an overview of data management practices
Facilitate planning of compute, storage, and software needs
Prepare usage overviews to support leadership resource decisions
Help coordinate research seminars and team-building events
Participate in newsletter efforts showcasing the department's work and keeping teams connected

Requirements

What you’ll need

Bachelor's degree required in Math, Engineering, Science, or related field
0–3 years of experience; exposure to research, model development, audit, or quality assurance environments is a plus
Exceptional attention to detail and a methodical, rigorous approach to reviewing work
Genuine interest in auditing scientific work and understanding how models are built
Highly organized, able to juggle several initiatives and follow established procedures consistently
Clear communicator who can raise findings constructively and interact with different roles and levels
Integrity and independence: able to hold teams to standards respectfully but firmly
Curious, self-directed learner, energized by an evolving environment of new tools and technologies
Comfortable operating in an environment of continuous change, flexible and adaptable to shifting priorities
Working knowledge of Python or a similar scripting language, sufficient to read and assess code
Experience in project management and software such as Jira
Familiarity with version control systems (e.g., Git/GitHub)
Strong working skills in Microsoft Office applications, particularly Excel, Word, and PowerPoint
Hands-on familiarity with generative AI tools and prompt design, with an interest in building reusable AI workflows
Understanding of reproducibility principles in scientific or data-driven work
Familiarity with data management concepts such as data catalogs and data lineage is a plus
Experience building dashboards or usage reports such as Excel or Power BI is a plus

Benefits

Comp & perks

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off program
Work flexibility
Support, coaching, and training
Short Term Incentive